Quantum Computing with Python: From Qubits to Circuits
summary
Begins with Python code using Qiskit to build qubit registers, apply H and X rotations, inspect states on a Bloch sphere, and run circuits on the IBM cloud (requires API key and an instance). Demonstrates a simulator result (single X yields definite |1⟩) versus noisy hardware, shows error mitigation and the need to transpile to hardware gate sets, explains cooling qubits in a dilution fridge and fragility (banana-peel sensitivity), and uses a CNOT entangling gate to create and measure entanglement.
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chapters (13)
- 0:00Quantum sensors and computing
- 3:34Classical computers
- 4:15Quantum bits and superposition
- 8:51Quantum computing next big thing
- 11:24Bloch sphere visualization
- 16:12Quantum gates and classical
- 17:37Entanglement in quantum computing
- 19:01Measurement outcomes
- 20:07Python setup for quantum
- 22:57Simple quantum circuit
- 24:43Quantum machine learning
- 25:47Running on real hardware
- 26:13CSU research and events
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